OBJECTIVE: Environmental risk factors may contribute to sleep-disordered breathing. We investigated the association between indoor particulate matter ≤2.5µm in aerodynamic diameter (PM2.5) and sleep-disordered breathing in children in an urban US community.
METHODS: The sample consisted of children aged 6-12years living in predominantly low-income neighborhoods in Boston, Massachusetts. Indoor PM2.5 was measured in participants\' main living areas for 7days using the Environmental Multipollutant Monitoring Assembly device. High indoor PM2.5 exposure was defined as greater than the sample weekly average 80th percentile level (≥15.6 μg/m3). Sleep-disordered breathing was defined as an Apnea-Hypopnea-Index (AHI) or Oxygen-Desaturation-Index (ODI) (≥3% desaturation) of ≥5 events/hour. Habitual loud snoring was defined as caregiver-report of loud snoring (most or all the time each week) over the past 4weeks. We examined the associations of PM2.5 with sleep-disordered breathing or snoring using logistic regression adjusting for potential confounders.
RESULTS: The sample included 260 children (mean age 9.6years; 41% female), with 32% (n = 76) classified as having sleep-disordered breathing. In a logistic regression model adjusted for socioeconomics and seasonality, children exposed to high indoor PM2.5 levels (n = 53) had a 3.53-fold increased odds for sleep-disordered breathing (95%CI: 1.57, 8.11, p = .002) compared to those with lower indoor PM2.5. This association persisted after additional adjustments for physical activity, outdoor PM2.5, environmental tobacco smoke, and health characteristics. Similar associations were observed for snoring and indoor PM2.5. CONCLUSIONS: Children with higher indoor PM2.5 exposure had greater odds of sleep-disordered breathing and habitual loud snoring, suggesting that indoor air quality contributes to sleep disparities.

Endocrine disruptors (ED) are ubiquitous pollutants, possibly implicated in chronic disease. Exposure of vulnerable populations; including neonates, infants and children; must therefore be limited. Informing parents is now a public health challenge. We conducted a quantitative cross-sectional study at the Lyon Mother and child Hospital. We used questionnaires to assess the beliefs and knowledge about ED of parents and pediatric healthcare professionals in the pediatric ward in Lyon, France. A total of 746 questionnaires were completed: 444 for professionals and 302 for parents. The majority of both populations had already heard of ED but only 10% of parents and 5% of professionals felt sufficiently informed. Professionals answered better than parents (73% vs. 60%). The main source of information was similar: media. Only 20% of professionals had read a scientific article about ED and 4% have followed a training. Environmental exposure and EDs is an increasing concern for parents but specific knowledge remains scare for parents and professionals. Specific training is needed.

The human voice has the potential to serve as a valuable biomarker for the early detection, diagnosis, and monitoring of pediatric conditions. This scoping review synthesizes the current knowledge on the application of artificial intelligence (AI) in analyzing pediatric voice as a biomarker for health. The included studies featured voice recordings from pediatric populations aged 0-17 years, utilized feature extraction methods, and analyzed pathological biomarkers using AI models. Data from 62 studies were extracted, encompassing study and participant characteristics, recording sources, feature extraction methods, and AI models. Data from 39 models across 35 studies were evaluated for accuracy, sensitivity, and specificity. The review showed a global representation of pediatric voice studies, with a focus on developmental, respiratory, speech, and language conditions. The most frequently studied conditions were autism spectrum disorder, intellectual disabilities, asphyxia, and asthma. Mel-Frequency Cepstral Coefficients were the most utilized feature extraction method, while Support Vector Machines were the predominant AI model. The analysis of pediatric voice using AI demonstrates promise as a non-invasive, cost-effective biomarker for a broad spectrum of pediatric conditions. Further research is necessary to standardize the feature extraction methods and AI models utilized for the evaluation of pediatric voice as a biomarker for health. Standardization has significant potential to enhance the accuracy and applicability of these tools in clinical settings across a variety of conditions and voice recording types. Further development of this field has enormous potential for the creation of innovative diagnostic tools and interventions for pediatric populations globally.

OBJECTIVE: There are persistent disparities in pediatric asthma morbidity in the U.S. We linked claims data with information on neighborhood-level risk factors to explore drivers of asthma disparities among Medicaid-enrolled children in New York City subsidized housing.
METHODS: We constructed a cohort of Medicaid-enrolled children living in public or other subsidized housing, based on residential address, in NYC between 2016 and 2019 (n = 108,969). We examined claims-derived asthma prevalence across age and racial and ethnic groups, integrating census tract-level information and using the Bayesian Improved Surname Geocoding (BISG) algorithm to address high rates of missing data in self-reported race and ethnicity. We used inverse probability weighting (IPW) to explore the extent to which disparities persisted when exposure to asthma risk factors - related to the built environment, neighborhood poverty, and air quality - were balanced across groups. This analysis was conducted in 2022-2023.
RESULTS: Claims-derived asthma prevalence was highest among children <7 years at baseline and among non-Hispanic Black and Hispanic children. For example, among children aged 3-6 years at baseline, claims-derived prevalence was 17.3% and 18.1% among non-Hispanic Black and Hispanic children, respectively, compared to 9.3% and 9.0% among non-Hispanic White and non-Hispanic Asian American/Pacific Islander children. Using IPW to balance exposure to asthma risk factors across racial and ethnic groups attenuated, but did not eliminate, disparities in asthma prevalence.
CONCLUSIONS: We found high asthma burden among children living in subsidized housing. Modifiable place-based characteristics may be important contributors to pediatric asthma disparities.

BACKGROUND: Adoption of 3D imaging systems in humanitarian settings requires accuracy comparable with manual measurement notwithstanding additional constraints associated with austere settings.
OBJECTIVE: This study aimed to evaluate the accuracy of child stature and mid-upper arm circumference (MUAC) measurements produced by the AutoAnthro 3D imaging system (third generation) developed by Body Surface Translations Inc.
METHODS: A study of device accuracy was embedded within a 2-stage cluster survey at the Malakal Protection of Civilians site in South Sudan conducted between September 2021 and October 2021. All children aged 6 to 59 months within selected households were eligible. For each child, manual measurements were obtained by 2 anthropometrists following the protocol used in the 2006 World Health Organization Child Growth Standards study. Scans were then captured by a different enumerator using a Samsung Galaxy 8 phone loaded with a custom software, AutoAnthro, and an Intel RealSense 3D scanner. The scans were processed using a fully automated algorithm. A multivariate logistic regression model was fit to evaluate the adjusted odds of achieving a successful scan. The accuracy of the measurements was visually assessed using Bland-Altman plots and quantified using average bias, limits of agreement (LoAs), and the 95% precision interval for individual differences. Key informant interviews were conducted remotely with survey enumerators and Body Surface Translations Inc developers to understand challenges in beta testing, training, data acquisition and transmission.
RESULTS: Manual measurements were obtained for 539 eligible children, and scan-derived measurements were successfully processed for 234 (43.4%) of them. Caregivers of at least 10.4% (56/539) of the children refused consent for scan capture; additional scans were unsuccessfully transmitted to the server. Neither the demographic characteristics of the children (age and sex), stature, nor MUAC were associated with availability of scan-derived measurements; team was significantly associated (P<.001). The average bias of scan-derived measurements in cm was -0.5 (95% CI -2.0 to 1.0) for stature and 0.7 (95% CI 0.4-1.0) for MUAC. For stature, the 95% LoA was -23.9 cm to 22.9 cm. For MUAC, the 95% LoA was -4.0 cm to 5.4 cm. All accuracy metrics varied considerably by team. The COVID-19 pandemic-related physical distancing and travel policies limited testing to validate the device algorithm and prevented developers from conducting in-person training and field oversight, negatively affecting the quality of scan capture, processing, and transmission.
CONCLUSIONS: Scan-derived measurements were not sufficiently accurate for the widespread adoption of the current technology. Although the software shows promise, further investments in the software algorithms are needed to address issues with scan transmission and extreme field contexts as well as to enable improved field supervision. Differences in accuracy by team provide evidence that investment in training may also improve performance.

BACKGROUND: Racial inequalities across social determinants of health (SDOHs) are often influenced by discriminatory policies that reinforce systems that further uphold these disparities. There is limited data describing the influence of food insecurity (FI) on childhood racial discrimination.
OBJECTIVE: Our objective was to determine if the likelihood of experiencing racial discrimination was exacerbated by FI.
METHODS: We conducted a cross-sectional analysis of the 2016-2020 National Survey of Children\'s Health (NSCH) to extract data on childhood racial discrimination and food security. We extracted sociodemographic variables to utilize as controls and constructed logistic regression models to determine associations, via odds ratios (ORs), between food security and whether the child experienced racial discrimination.
RESULTS: We found statistically significant associations between experiencing FI and childhood racial discrimination. Individuals who experienced food shortages were significantly more likely to experience racial discrimination compared to those without food limitations when controlling for race, food voucher usage, age, and % federal poverty guidelines (FPG, adjusted odds ratio [AOR]: 3.34; 95 % CI: 2.69-4.14).
CONCLUSIONS: Our study found that parents of minority children all reported high rates of racial discrimination, which was exacerbated by concurrent FI. Children of families that were the most food insecure reported the highest percentage of racial discrimination at 11.13 %, compared with children who always had enough nutritious meals to eat at 2.87 %. Acknowledging the intersection that exists between FI, race, gender, and socioeconomic status (SES), might be a way forward in addressing the adverse health effects experienced by food-insecure children and adults.

As the number of infants entering Out-of-Home Care at birth internationally continues to rise, Hospital-based healthcare workers (HBHCWs) are increasingly likely to become involved in ethically, morally, and legally complex child protection processes. This scoping review aimed to identify and synthesize qualitative literature pertaining to the perspectives of HBHCWs with experiences of involvement in child protection processes occurring in the perinatal period. JBI Methodology for Scoping Reviews guided this review. Databases Ovid MEDLINE, CINAHL Plus, PsycINFO, ProQuest, Web of Science, SCOPUS, and Informit were searched between March 1 and April 30, 2023. Eighteen sources were identified as meeting the criteria for inclusion following screening by two independent reviewers. Data extracted from the included sources are presented in narrative and tabular formats. Involvement in child protection processes is an inherently conflictual experience for HBHCWs and gives rise to internal, interpersonal, and interorganizational tensions. Involvement can have an enduring impact on the HBHCWs, particularly when an infant is removed from hospital by child protection authorities. Appropriate peer, managerial, and organizational level responses are essential to ameliorate risk to HBHCWs themselves and subsequently their practice with women, infants, and families. HBHCWs can provide valuable insight into the challenges of delivering healthcare at the interface of child protection. Future research should focus on building understanding of experiences across disciplines to ensure that interventions designed to prepare and support HBHCWs are effective and evidence-based.

BACKGROUND: Button battery (BB) ingestion injuries are a devastating and preventable event within the pediatric population. Efforts to reduce the prevalence of esophageal button battery ingestion injuries include primary preventative measures. It is integral to assess the public\'s baseline knowledge about BB injuries to tailor future primary prevention efforts.
METHODS: This is a crowdsourcing survey-based study. Participants were notified through our institution\'s Twitter and Instagram accounts.
RESULTS: There were 930 completed survey responses from May to June 2022. The survey found that 87% (791/910) knew that swallowing a BB could cause injury and 71% knew that it could cause death (642/905). Eight-five percent of respondents did not know what signs and symptoms to look for after BB ingestion, only 30% (99/340) of healthcare professionals felt they would know. Only 10.1% (94/930) of participants knew to give children over 12 months old honey after suspected BB ingestion. Thirty-four percent (311/930) knew that complications could still occur even after BB were removed. Seventy-seven percent (719/930) knew that a dead BB could cause injury but only 17% knew the correct way to dispose of a dead button battery (158/930). Only 8% (72/930) of participants were knew that wrapping dead BB in tape could potentially prevent injury.
CONCLUSIONS: The current study reveals gaps in the public\'s understanding of BB injury including: the presentation of BB injuries; the delayed harm of BB impactions; management and mitigation strategies, and BB disposal methods. This survey provided imperative insights to help guide future education and primary prevention initiatives.
METHODS:

Background Awareness of age-appropriate milestones and developmental stages is crucial for parents to identify any potential delays or concerns early on and seek appropriate interventions. This study aimed to assess the knowledge, attitudes, and practices of caregivers in Saudi Arabia regarding baby walkers, baby car seats, early dental visits, and screen time for young children. Methods A cross-sectional survey was conducted among parents in Saudi Arabia using a structured questionnaire. A convenience and snowball sampling method was employed to recruit participants from various regions of the country. The questionnaire aimed to assess parents\' knowledge regarding the recommended use of baby walkers and baby car seats, their awareness of the importance of early dental visits, and their understanding of appropriate screen time guidelines. Additionally, the survey explored parents\' practices toward these recommendations. Descriptive statistics were used to analyze the data, and associations between variables were examined using the chi-squared test. Results A total of 1318 participants were included. The analysis revealed that the majority of the participants (n=1066,81.3%) use a baby walker, while only (n=292,22.3%) consider that they should never be used. Overall, (n=388,29.6%) of the participants never used a car seat for their infants or children. In terms of early childhood dental visits, approximately (n=518,39.5%) of the participants reported actually taking their child to the dentist within the recommended timeframe. Regarding screen time for children, (n=148,11.3%) of the participants reported that their children spend >5 hours daily in front of the screen.  Conclusions Raising parents\' awareness about recent childcare recommendations and safe practices is crucial for promoting optimal child development, preventing health problems, facilitating evidence-based decision-making, reducing risks, enhancing parental confidence and empowerment, and nurturing positive parent-child relationships.

UNASSIGNED: Fine particulate matter (PM2.5) exposure has been linked to anxiety and depression in adults; however, there is limited research in the younger populations, in which symptoms often first arise.
UNASSIGNED: We examined the association between early-life PM2.5 exposure and symptoms of anxiety and depression in a cohort of 8-11-year-olds in Mexico City. Anxiety and depressive symptoms were assessed using the Spanish versions of the Revised Children\'s Manifest Anxiety Scale and Children\'s Depression Inventory. Daily PM2.5 was estimated using a satellite-based exposure model and averaged over several early and recent exposure windows. Linear and logistic regression models were used to estimate the change in symptoms with each 5-µg/m3 increase in PM2.5. Models were adjusted for child\'s age, child\'s sex, maternal age, maternal socioeconomic status, season of conception, and temperature.
UNASSIGNED: Average anxiety and depressive symptom T-scores were 51.0 (range 33-73) and 53.4 (range 44-90), respectively. We observed consistent findings for exposures around the fourth year of life, as this was present for both continuous and dichotomized anxiety symptoms, in both independent exposure models and distributed lag modeling approaches. This window was also observed for elevated depressive symptoms. An additional consistent finding was for PM2.5 exposure during early pregnancy in relation to both clinically elevated anxiety and depressive symptoms, this was seen in both traditional and distributed lag modeling approaches.
UNASSIGNED: Both early life and recent PM2.5 exposure were associated with higher mental health symptoms in the child highlighting the role of PM2.5 in the etiology of these conditions.